Stan
mc-stan.orgStan provides software for Bayesian data analysis, including tools for sophisticated statistical modeling.
Looking for something like Incanter? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 11 are open source.
Incanter provides statistical computing and graphics tools for Clojure.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Stan | — | Not stated | Web |
| 2 | statsmodels | — | Yes | — |
| 3 | A gallery of interesting IPython notebooks | — | Yes | — |
| 4 | astroML | — | Not stated | Web |
| 5 | Pandas | — | Not stated | Web |
| 6 | ImHex | — | Not stated | Web |
| 7 | Piperider | — | Yes | — |
| 8 | Dora | — | Yes | — |
| 9 | emcee | — | Yes | — |
| 10 | mlxtend | — | Not stated | — |
Stan provides software for Bayesian data analysis, including tools for sophisticated statistical modeling.
statsmodels provides statistical modeling and econometrics tools in Python.
Browse a gallery of interesting Jupyter notebooks on this project wiki, with examples from notebook users.
AstroML provides Python tools for machine learning and data mining in astronomy.
The pandas project provides open-source Python tools for analyzing and manipulating data.
Analyze binary data and use pattern language or disassembly in ImHex, an open-source hex editor for reverse engineers and developers.
PipeRider provided code review tools for dbt data and has been superseded by Recce.
Exploratory data analysis in Python is the focus of Dora, a library with functions for cleaning, feature selection, visualization, and validation.
emcee provides a Python toolkit for affine-invariant Markov chain Monte Carlo sampling.
mlxtend adds helper modules for Python data analysis and machine learning libraries.
For Python data preparation, DataPrep offers an open-source low-code library to collect, clean, and visualize data.
MultivariateStats.jl provides Julia tools for multivariate statistics and data analysis, including dimension reduction.
bamboolib provides a graphical interface for working with Pandas DataFrames.
ClojisR connects Clojure with R, providing a bridge for statistical work between the two languages.
Neanderthal provides native matrix and linear algebra operations for Clojure.
Jupyter Notebook combines live code, equations, explanatory text, visualizations, and interactive computing in a web platform.
For parallel computing in Python, Dask extends familiar tools to handle larger workloads.
NumPy provides n-dimensional arrays and numerical computing tools for Python.
PyCUDA provides Python bindings for working with CUDA and GPU computing.
The Geni project provides a Clojure dataframe library that runs on Apache Spark.
Apache Hama was a big data and high-performance computing project that has retired.
HypothesisTests.jl is a Julia package that implements statistical hypothesis tests.
jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.
Python developers can use Streamlit to build and share data applications.
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